Predicting the service life of buildings and facilities to minimize the risk of losses in the conditions of natural and technogenic emergency situations

Author:

Smirnova Elena,Savin Sergey

Abstract

Abstract This article discusses the solution to the task of predicting the consequences of catastrophic earthquakes for operational buildings and facilities. We suggest using such basic parameters for verifying the calculation models as natural frequencies, oscillation forms and decrements of objects under earthquake loads. At the same time we substantiate the possibility to use micro-oscillations for that purpose, even though buildings and facilities are cushioned systems. We present the methods and means to conduct tests to estimate the dynamic parameters of buildings, as well as an example of such a test and the process of verification of the calculation model in the example of a panel multi-storey building. We set an example of evaluation of the consequences of an accident with a building in St. Petersburg, which was partially destroyed as a result of non-uniform setting of soils in the base. We drew the conclusion that using dynamic parameters makes it possible to solve various tasks for current predicting the remaining service life of damaged objects.

Publisher

IOP Publishing

Subject

General Medicine

Reference17 articles.

1. Subspace-based damage detection on steel frame structure under changing excitation;Döhler;Structural Health Monitoring,2014

2. Vibration-based damage detection techniques used for health monitoring of structures: a review;Das;J Civil Struct Health Monit,2016

3. Service safety of buildings and structures at high mechanical loads;Danilov;Natural and man-made risks (physical, mathematical and applied aspects),2015

4. Vibration-based damage detection techniques for health monitoring of construction of a multi-storey building;Shatilov;Materials Science Forum,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3